STEP 1: run sensitivity experiment
You can run sensitivity experiments for the multiple soundings. For example, we can do experiments, in which the soil moisture to the wilting point (
WILT) and the field capacity (
FC)), as follows:
python $CLASS4GL/simulations/simulations.py \ --c4gl_path_lib $CLASS4GL \ --station_id 74560 \ --path_forcing $CLASS4GL_DATA/forcing/IGRA_PAIRS_20190515/ \ --path_experiments $CLASS4GL_DATA/experiments/IGRA_PAIRS_20190515/ \ --experiments " WILT FC " \ --split_by 25 \ --global_chunk_number 0
Note that another simulation script (
simulations_soil_moisture.py) is used as before (
simulations.py). You can have a look how the sensitivity simulations are defined by looking at the differences:
vimdiff $CLASS4GL/simulations/simulations.py $CLASS4GL/simulations/simulations_soil_moisture.py
Please note that the different sensitivity experiments should be prepared in a consistent way as the base experiment. As such, if you have prepared you base experiment as an array job on a supercomputer according to this tutorial, please perform the sensitivity experiments in a similar way as provided in the next step.
STEP 2 (optional): sensitivity experiments on a supercomputer
You can also start the above experiments as array jobs for all the soundings over all the stations as follows:
ipython -i $CLASS4GL/simulations/batch_simulations.py -- \ --c4gl_path_lib $CLASS4GL \ --exec $CLASS4GL/simulations/simulations_soil_moisture.py \ --path_forcing $CLASS4GL_DATA/forcing/IGRA_PAIRS_20190515/ \ --path_experiments $CLASS4GL_DATA/experiments/IGRA_PAIRS_20190515/ \ --experiments "WILT FC"
This will launch two array jobs. The entire batch of two experiments will be done on multiple parallel jobs distributed over two arrays.
STEP 3: open the sensitivity experiments with the data explorer
You can load the base experiment and the two soil-moisture sensitivity experiments with the data explorer:
ipython -i $CLASS4GL/interface/interface.py -- --c4gl_path_lib $CLASS4GL --path_forcing $CLASS4GL_DATA/forcing/IGRA_PAIRS_20190515/ --path_experiments $CLASS4GL_DATA/experiments/IGRA_PAIRS_20190515/ --experiments "BASE WILT FC"
You can now access the data (as described in the above steps) of all experiments:
c4gldata['BASE'] c4gldata['WILT'] c4gldata['FC']
In order to explore the different experiments, see steps 3 to 6 of the tutorial of the first experiment.
Next: Interactive data explorer.